Additional analyses were performed based on linear regression models following a “ the difference between final values of period 1 and period 2. On the other hand, ∆BMI differences between the beginning and end of the total nutritional program were assessed. The baseline TyG index , TyG index after the end of the intervention with the LCD , as well as the TyG differences between both time points , were used as predictor variables in the models.
Three regression models were fitted as follows: 1) a crude model a model adjusted for potential confounding variables such as sex, age, study center and randomized diet corresponding to the minimum setting model and; 3) maximum setting model was additionally adjusted for ∆Weight, smoking status , daily walking time , and alcohol intake .